AI Computer Vision

Project Background & Challenges

Introduction to E-Services (THACO Group)

THACO Group is a leading multi-industry corporation in Vietnam, possessing a large-scale network of showrooms and service centers nationwide. Within its digital transformation roadmap, THACO aims to apply AI technology and data to enhance operational efficiency and the customer experience at direct physical touchpoints, specifically showrooms.

Challenges and Improvement Objectives

Current challenges

Across THACO’s showroom network, vehicle entry and exit monitoring and management have largely relied on manual processes, without a centralized software system for vehicle recognition and data analysis. Key challenges include:

• Limited ability to accurately identify and categorize customer vehicles, employee vehicles, and visitor vehicles
• Insufficient data to analyze customer visit patterns, frequency, and arrival times
• Employees required to perform numerous manual tasks based on traditional operational processes
• Inconsistent and insufficiently personalized customer reception experiences

These limitations make it difficult for showrooms to optimize operations, fully leverage customer data, and deliver a modern customer experience in the context of digital transformation.

Improvement objectives

The AI Camera - E-Service project aims to establish an intelligent recognition and analytics system across THACO showrooms, including key locations such as Binh Trieu and BMW Sala. The solution supports all brands distributed by THACO in Vietnam, including KIA, BMW, Peugeot, Mazda, MINI, THACO Truck, THACO Bus, and other brands.

The key objectives include:

• Deploy AI-powered cameras for remote vehicle recognition to:
  • Track, count, and classify vehicles entering and exiting showrooms
  • Recognize customers with pre-booked appointments through the customer app
  • Instantly notify staff when customers arrive at the showroom
• Reduce manual workload and optimize operational processes:
  • Schedule and coordinate staff more efficiently
  • Proactively welcome and serve customers
• Enhance the customer experience at physical touchpoints:
  • Display personalized welcome and customer check-in information on a 100-inch LED screen
  • Create a professional and modern showroom experience

TOT Solution

To address the need for real-time showroom operational optimization, TOT proposed and implemented AI Camera - E-Service, an intelligent software solution within THACO’s digital ecosystem. The solution serves as a central hub connecting data, systems, and people, integrating the customer application, AI camera systems deployed at showrooms, and customer service teams. All data and service history are synchronized and centrally managed across the entire system, helping improve operational efficiency and enhance the customer experience.

Implementation Components

1. AI Camera Recognition & Analytics System

• Deploy cameras at showroom entrances to capture images of incoming and outgoing vehicles.
• Apply AI-powered license plate recognition to identify vehicles and cross-reference the data with the centralized management system.
• Classify vehicles into different groups, including customers with pre-booked appointments, walk-in customers, and employees.

The following images showcase the AI camera system used to recognize customer vehicles entering and exiting the showroom.

2. Data Synchronization & Business Process Automation

• Synchronize data from the DDMS system with the central CMS to verify customers’ appointment status.
• Build intelligent processing workflows:
  • Customers with pre-booked appointments: Display personalized customer information and greetings on the LED screen.
  • Customers without appointments: Display a general welcome message.

3. Real-Time Display Experience

• Develop a real-time content display interface for the 100-inch LED screen.
• Enable staff to access customer information in advance and proactively welcome customers.

4. Reporting & Data Analytics

• Monitor vehicle traffic in real time.
• Analyze customer visit frequency and return patterns.
• Evaluate operational performance by showroom and time period.

Timeline & Technologies

• Implementation timeline: 2 months
• Technologies used:
  • YOLO – Object and license plate detection from camera footage
  • OpenAI – Supports logic processing and dynamic display content generation
  • .NET Core / C# – Backend development and business logic processing
  • Next.js – Development of the display interface and management dashboard

Results & Business Value

Following the implementation and deployment of AI Camera - E-Service at THACO showrooms, the system has delivered significant improvements in customer reception, data management, and AI-driven operational efficiency through real-time analytics.

• Established a smart and automated customer reception model at showrooms.
• Standardized customer data and behavior at physical touchpoints.
• Enhanced the showroom experience with a modern, technology-driven, and professional image.

Business Value

For Customers

• A seamless, convenient, and proactive experience.
• Faster and more personalized reception upon arrival at the showroom.

For the Business

• Optimized operations while reducing reliance on manual processes and labor-intensive tasks.
• Improved management efficiency and enabled data-driven decision-making.

For the THACO Ecosystem

• Established a unified digital platform.
• Strengthened integration between:
  • iOS & Android customer applications
  • Customer management system (DDMS)
  • AI Camera - E-Service system
• Built a scalable foundation for future integration with high-quality technology solutions.